@marclou I have had the complete opposite experience. Might be what the complexity is in the ui/animations or in the core logic applications. is the backend solution innovative or is the frontend task innovative
My issue is not that is just autocomplete (although I truly believe we can do better and is the wrong direction) my issue is the training aspect of the technology, you train massive models on bilions even trilions of tokens and once that model is trained it is done, it is released and is the next big thing yes it can get tools to search the web but it cannot self update it cant modify its own weight it is pre trained on that model is done if more information or new data comes in to get it into its actual neuronetwork we need to now come out with another model model 4.9 or 5.7 or where ever they are in each company. Now I know it is mitigated with RAG and external or adjacent databases for memory but this seems like a bandaid anything happens to that database is gone and even if it didnt the core selling point and core aspect of the tech which is neural network is static. If we can figure out a way to get a model to self update weight in a easy way because now it is nearly impossible with current tech is the very issue with fine tuning, you cannot add without removing or replacing. Then even if is autocomplete I would almost or entirely say fine AGI is here.
Creator of Zig is saying something I never thought about but also something we all know very well. We are essentially handing out intellectual property eyes closed. we all essentially doin cloud programming.
the dude is incredibly stubborn in his thoughts, he does a lot of good research I often read his stuff. But on this he has done none he has no idea about the underlying technology works its just like "I see how amazing it outputs, I read all these tweets about ai from vcs that depend on it and how awsome it is so i conclude it is agi". Just yesterday I said to an agent a set of steps I took to get an outcome and i wanted it to analyze and build a algorithm in order to get similar outcomes like "I did this very specific thing, I saw this specific thing, then i research this specific thing and got this result" it came back with "yes the algorithm then is to do the same specific thing, to see the same specific thing you did and reserch that very specific thing you did to get the same result" So ZERO creativity just copied exactly what i had done with no expansion no vision or similarities nothing. I been saying it, current tech is not it we are going in the wrong direction
I used to be scared and overthink app releases because I didnโt want to disappoint users or have a bad bug in my app that would make user hate the app and leave but from this Spotify outraged I saw a comment from a user that said they were Spotify users for 10+ years and after this logo change they cancelled and moved to YouTube premium FROM A logo changeโฆ so yea IDGAF anymore cured all worries and anxiety release release release
The internet is outraged at Spotify's designer for creating an app icon that's totally off. They're calling for Spotify to fire the designer.
What do you think? ๐
My little offline AI notes app Viska did a little over $1k gross in April across ios and android. It runs local transcription and local ai assistant about notes, one time purchase and somehow privacy focused academics and mainly Europeans who actually care about this are finding it.
Not life changing yet, but is the first app i have built that finally saw it all the way thru, motivating enough to keep going with a LOT of users emailing about feature requests on the regular. viskalocal dot com
all this new models and tooling and overcomplicating everything, I havnt noticed the difference in models since opus 4.5 and this codex new tool (almost) everything feels like microsoft cramped ass.
i get that but think about local models i mean they are improving but everyone knows you need hundred of thousands of dollar to get close to the same level of opus 4.6 or other so what do you do you use the various companies models. You wont need to own a quantum computer but using the compute is where the money will be at so you will have companies emerge that will allow you to use the "cloud" service just like chatgpt and anthropic do now you dont own those models they are not in your computer. I am 99.9% sure quantum computing is the next bubble and it will be exactly like ai where is mostly marketing sprinkle with some realness and there will be usability
I love it! the ui is super clean and intuitive I dont even know how you got it to install on my browser right away too very snappy great magic @claudeai@amorriscode
Today we're launching a rebuilt version of Claude Code on desktop.
The app has been redesigned for the ground up to make it easier than ever to parallelize work with Claude.
I haven't opened an IDE or terminal in weeks. Excited for you all to give it a shot!